---
title: "Context"
description: "Context API Documentation"
icon: "code"
github: "https://github.com/mcp-use/mcp-use/blob/main/libraries/python/mcp_use/server/context.py"
---

import {RandomGradientBackground} from "/snippets/gradient.jsx"

<Callout type="info" title="Source Code">
View the source code for this module on GitHub: <a href='https://github.com/mcp-use/mcp-use/blob/main/libraries/python/mcp_use/server/context.py' target='_blank' rel='noopener noreferrer'>https://github.com/mcp-use/mcp-use/blob/main/libraries/python/mcp_use/server/context.py</a>
</Callout>

## Context

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<div className="text-black font-bold text-xl mb-2 mt-8"><code className="!text-black">class</code> Context</div>

</div>
</RandomGradientBackground>
```python
from mcp_use.server.context import Context
```

<Card type="info">
### `method` __init__

**Parameters**
><ParamField body="request_context" type="RequestContext[ServerSessionT, LifespanContextT, RequestT] | None" default="None" >   Parameter value </ParamField>
><ParamField body="fastmcp" type="FastMCP | None" default="None" >   Parameter value </ParamField>
><ParamField body="kwargs" type="Any" required="True" >   Parameter value </ParamField>

**Signature**
```python wrap
def __init__(request_context: RequestContext[ServerSessionT, LifespanContextT, RequestT] | None = None, fastmcp: FastMCP | None = None, kwargs: Any):
```

</Card>
<Card type="info">
### `method` get_http_request

Return the underlying Starlette Request when running over HTTP transports.


**Returns**
><ResponseField name="returns" type="Request | None" />

**Signature**
```python wrap
def get_http_request():
```

</Card>

<Card type="info">
### `method` sample

Request a client-side LLM sampling invocation.



**Parameters**
><ParamField body="messages" type="str | SamplingMessage | Sequence[SamplingMessage | str]" required="True" >   The sampling prompt(s). Accepts a simple string, a single </ParamField>
><ParamField body="max_tokens" type="int" default="512" >   Maximum number of tokens to request from the client LLM. </ParamField>
><ParamField body="system_prompt" type="str | None" default="None" >   Optional system instructions to prepend. </ParamField>
><ParamField body="include_context" type="bool | None" default="None" >   Whether to ask the client to include MCP context. </ParamField>
><ParamField body="temperature" type="float | None" default="None" >   Optional sampling temperature. </ParamField>
><ParamField body="stop_sequences" type="Sequence[str] | None" default="None" >   Optional stop sequences to pass to the client LLM. </ParamField>
><ParamField body="metadata" type="dict[str, Any] | None" default="None" >   Optional provider-specific metadata. </ParamField>
><ParamField body="model_preferences" type="ModelPreferences | None" default="None" >   Optional hint about the desired model. </ParamField>
><ParamField body="raw" type="bool" default="False" >   When ``True`` returns the full ``CreateMessageResult`` instead of </ParamField>

**Returns**
><ResponseField name="returns" type="CreateMessageResult" />

**Signature**
```python wrap
def sample(
messages: str | SamplingMessage | Sequence[SamplingMessage | str],
    max_tokens: int = 512,
    system_prompt: str | None = None,
    include_context: bool | None = None,
    temperature: float | None = None,
    stop_sequences: Sequence[str] | None = None,
    metadata: dict[str,
    Any] | None = None,
    model_preferences: ModelPreferences | None = None,
    raw: bool = False
):
```

</Card>

<Card type="info">
### `method` send_prompt_list_changed

Notify the client that the prompt list changed.


**Signature**
```python wrap
def send_prompt_list_changed():
```

</Card>

<Card type="info">
### `method` send_resource_list_changed

Notify the client that the resource list changed.


**Signature**
```python wrap
def send_resource_list_changed():
```

</Card>

<Card type="info">
### `method` send_tool_list_changed

Notify the client that the tool list changed.


**Signature**
```python wrap
def send_tool_list_changed():
```

</Card>

</div>
